Requirements & tools
Anthropic
The Forward Deployed Engineer, Applied AI at Anthropic embeds with strategic enterprise customers to accelerate Claude adoption and create new applications built on Anthropic’s models. Day-to-day responsibilities include working within customer systems to build production applications with Claude (ensuring the products meet customer requirements); delivering technical artifacts like MCP servers, sub-agents, and agent skills used in production workflows; providing white-glove deployment support for Anthropic products in enterprise environments; identifying and codifying repeatable deployment patterns; contributing insights back to Anthropic’s Product and Engineering teams; maintaining strong knowledge of LLM capabilities, implementation patterns, and AI product development stacks; and building long-term customer relationships while proactively identifying new opportunities for AI deployment. Required: 3+ years in a technical, customer-facing role (FDE, Software Engineer with consulting experience, or former technical founder); production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale; strong Python (and ideally Typescript, Java, or other languages); ability to translate ambiguous business requirements into shipping production systems. Travel to customer sites estimated at 25%. Compensation: $200,000-$290,000 base plus substantial equity (Anthropic stock).
Role context
Forward Deployed Engineers at frontier AI labs embed directly with strategic enterprise customers to drive transformational AI adoption. At Anthropic, FDEs sit at the frontier of enterprise AI deployments — building production applications with Claude models, shipping MCP servers and sub-agents, and championing Anthropic’s mission in the field. The role combines engineering depth, frontier AI application fluency, and customer-facing skills. FDEs are autonomous operators who thrive under ambiguity and represent Anthropic at the highest level in customer environments. Position is available in Boston, NYC, Seattle, SF, or DC. 25% travel typical. Compensation reflects Anthropic’s frontier-AI pay banding with significant equity component.
Quick facts
Frequently Asked Questions
How does Anthropic's Forward Deployed Engineer role compare to Palantir's original FDE role?
Palantir invented the Forward Deployed Engineer title for customer-embedded engineers building custom data integrations and analyses at client sites. Anthropic's version focuses specifically on Claude-based AI applications — building production LLM systems that solve real customer workflows. Both share the embedded customer-engineer DNA, but Anthropic FDEs focus on LLM agents, MCP servers, and AI deployment patterns rather than data integration. Both involve significant travel and customer-facing time.
What is MCP (Model Context Protocol) and why is it central to this FDE role?
MCP is Anthropic's open protocol for connecting AI models to data sources, tools, and systems. FDEs build MCP servers that expose customer-specific data (CRMs, databases, internal APIs) to Claude so the model can autonomously perform actions. The role explicitly calls out delivering MCP servers as a primary technical artifact. Understanding MCP architecture deeply (server implementation, tool schemas, capability negotiation) is a strong differentiator for candidates.
What is the travel expectation for this Forward Deployed Engineer role?
Roughly 25% travel to customer sites for in-person build sessions, technical workshops, and quarterly business reviews with customer engineering leadership. Travel intensity varies — heavy quarters during initial deployments at new accounts, lighter during ongoing development. Anthropic supports travel costs and provides logistics support. Candidates uncomfortable with 25%+ travel should reconsider; the role's customer-embedded nature requires regular in-person engagement.